Imagen de Portada

Neural Bipartite Matching

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Georgiev, Dobrik, Liò, Pietro
Formato:	Preprint
Publicado:	2020
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Deep Equilibrium Algorithmic Reasoner
por: Georgiev, Dobrik, et al.
Publicado: (2024)

Neural Algorithmic Reasoning for Combinatorial Optimisation
por: Georgiev, Dobrik, et al.
Publicado: (2023)

Deep Equilibrium Algorithmic Reasoning
por: Georgiev, Dobrik, et al.
Publicado: (2024)

Neural Algorithmic Reasoning with Multiple Correct Solutions
por: Kujawa, Zeno, et al.
Publicado: (2024)

Parallel Algorithms Align with Neural Execution
por: Engelmayer, Valerie, et al.
Publicado: (2023)

KNARsack: Teaching Neural Algorithmic Reasoners to Solve Pseudo-Polynomial Problems
por: Požgaj, Stjepan, et al.
Publicado: (2025)

Wasserstein Hypergraph Neural Network
por: Duta, Iulia, et al.
Publicado: (2025)

An Empirical Investigation of Neural ODEs and Symbolic Regression for Dynamical Systems
por: Ioannou, Panayiotis, et al.
Publicado: (2026)

SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants
por: Rathod, Santanu Subhash, et al.
Publicado: (2026)

An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
por: Huang, Keke, et al.
Publicado: (2023)

Superposition in Graph Neural Networks
por: Pertl, Lukas, et al.
Publicado: (2025)

SPHINX: Structural Prediction using Hypergraph Inference Network
por: Duta, Iulia, et al.
Publicado: (2024)

UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG
por: Georgiev, Dobrik, et al.
Publicado: (2026)

Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
por: Ashworth, Cassidy, et al.
Publicado: (2025)

CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
por: Purves, Carlos, et al.
Publicado: (2026)

How Smoothing is N-simplicial Attention?
por: Dussolle, Alexandre, et al.
Publicado: (2025)

On the Sheafification of Higher-Order Message Passing
por: Hume, Jacob, et al.
Publicado: (2025)

Concept Graph Convolutions: Message Passing in the Concept Space
por: Magister, Lucie Charlotte, et al.
Publicado: (2026)

Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
por: Borgi, Alessio, et al.
Publicado: (2025)

Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts
por: Su, Shiye, et al.
Publicado: (2024)

Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes
por: Rathod, Santanu, et al.
Publicado: (2024)

GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
por: Margeloiu, Andrei, et al.
Publicado: (2022)

Will More Expressive Graph Neural Networks do Better on Generative Tasks?
por: Zou, Xiandong, et al.
Publicado: (2023)

Leveraging graph neural networks for supporting Automatic Triage of Patients
por: Defilippo, Annamaria, et al.
Publicado: (2024)

ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data
por: Rathod, Santanu Subhash, et al.
Publicado: (2025)

GenRec: Generative Sequential Recommendation with Large Language Models
por: Cao, Panfeng, et al.
Publicado: (2024)

GEM-FI: Gated Evidential Mixtures with Fisher Modulation
por: Mohammed, Marco Mustafa, et al.
Publicado: (2026)

Decoding the Stressed Brain with Geometric Machine Learning
por: Koszut, Sonia, et al.
Publicado: (2025)

Heterogeneous Sheaf Neural Networks
por: Braithwaite, Luke, et al.
Publicado: (2024)

A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways
por: Bardozzo, Francesco, et al.
Publicado: (2020)

Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning
por: Sun, Zhongtian, et al.
Publicado: (2025)

Language Model Knowledge Distillation for Efficient Question Answering in Spanish
por: Bazaga, Adrián, et al.
Publicado: (2023)

SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation
por: Bazaga, Adrián, et al.
Publicado: (2023)

HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
por: Bazaga, Adrián, et al.
Publicado: (2024)

Unsupervised Pretraining for Fact Verification by Language Model Distillation
por: Bazaga, Adrián, et al.
Publicado: (2023)

Algebraic Priors for Approximately Equivariant Networks
por: Ali, Riccardo, et al.
Publicado: (2025)

Multi-Level Monte Carlo Training of Neural Operators
por: Rowbottom, James, et al.
Publicado: (2025)

Metric Learning for Clifford Group Equivariant Neural Networks
por: Ali, Riccardo, et al.
Publicado: (2024)

How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
por: Huang, Keke, et al.
Publicado: (2024)

Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
por: Cornelio, Cristina, et al.
Publicado: (2025)